With a dataset of 5 million unique incidents of traffic slowing or stopping from the city of Louisville, We want to determine whether or not the structure of the street network corresponds to troubles during the typical morning commute. Mapping every kink in vehicle flows during the month of June, we can see that certain hot spots do concentrate around major roads—unsurprisingly. Yet this does not tell us about the structure underpinning this phenomenon. Before producing a predictive model, in the interest of extracting valuable features from the urban fabric, we want to measure the relationships between streets and test how these measures associate with traffic congestion.